Hydra, a discrete World Action Model that tackles this by establishing a unified latent manifold over visual states, physical poses, and control actions, outperforms state-of-the-art navigation world models in goal-directed planning, while matching or exceeding the closed-loop execution capabilities of leading reactive...
Mohammad Nazeri, Alexandyr Card, S. Huber et al.· 2 citations
World Action Models (WAMs) have emerged as a promising alternative for embodied intelligence by jointly predicting future world states and robot actions. However, their heavy visual encoding and iterative generative inference incur substantial latency, limiting their applicability to high-frequency closed-loop control....
Zeng-Yuan Zuo, Yong-Chang Zhang, Guang-Yu Zhao et al.· 0 citations
Through unified training, the P3-WAM model outperforms specialized baselines on 3D hand reconstruction and action-conditioned video prediction across four datasets, while producing goal-directed manipulation videos with stronger instruction adherence and action progression than video-generation baselines.
Zi-Rui Wu, Chen Guo, Tian-Jian Jiang et al.· 0 citations
This work studies action-conditioned predictors built on five frozen self-supervised visual backbones, finding that a world model guides action selection reliably only when the goal lies within, or slightly beyond, the trajectory it imagines during planning.
A. Alrasheed, Basim Azam, Naveed Akhtar· 1 citation
LaPla is introduced, a unified Vision-Language-Action framework featuring latent-aligned planning to seamlessly ground semantic understanding in precise motion execution to bridge the modality gap between high-dimensional semantics and the raw action space.
Ruo-Yu Yao, Yu-Sen Xie, Qing-Zhao Liu et al.· 1 citation
MM-Future, a world-action model that generates multiple paired scene-action hypotheses and models bidirectional interaction within each pair, shows consistent improvements over both single-mode and action-only variants, validating the benefit of multi-mode joint world-action modeling.
Shuai Liu, Hechangle Gong, Hao Jiang et al.· 1 citation
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